code: def test_components_batching_list(name):
      nlp = English()
      proc = nlp.create_pipe(name)
      util_batch_unbatch_docs_list(proc.model, get_docs(), list_floats)
  
file_path: spaCy/spacy/tests/pipeline/test_models.py
imports: from typing import List
  import numpy
  import pytest
  from numpy.testing import assert_almost_equal
  from thinc.api import Model, data_validation, get_current_ops
  from thinc.types import Array2d, Ragged
  from spacy.lang.en import English
  from spacy.ml import FeatureExtractor, StaticVectors
  from spacy.ml._character_embed import CharacterEmbed
  from spacy.tokens import Doc
  from spacy.vocab import Vocab
label_desc: Use image node_id 2 for calling a global function with example usage: test_components_batching_list(name) without return types